Abstract For emerging wireless mesh networks, multicode multicarrier CDMA(MC‐CDMA) based technology is one of the most viable candidates. We perform stochastic modelling of the queues at the mobile station for uplink communication with multicode multicarrier CDMA system with two types of traffic, namely real‐time and non‐real‐time. Each traffic is assigned its own codes. However, the non‐real‐time traffic is allowed to use codes assigned to real‐time traffic, when real‐time traffic is not using its codes. Based on the probability of bit error for a multicode MC‐CDMA system, we first compute the probability of packet error. The packet in error will be inserted into the queue until it successfully gets through to the receiver. The packet arrival process at the input queue is modelled as Markov modulated Poisson processes (MMPP). The QoS performance in terms of packet loss for real‐time traffic and the occupancy distribution for non‐real‐time traffic is evaluated using matrix geometric techniques. We present numerical results for low and high load of real‐time traffic with varying loads of non‐real‐time traffic. We observe the binomial tweaking feature of occupancy distribution at higher loads due to batch departures. Copyright © 2009 John Wiley & Sons, Ltd.

Performance-analysis of a switching system using priority-based dynamic capacity allocation is presented. The system provides connectivity between a number of point-to-multipoint communication access clusters. The scheduling of traffic transmission at each access cluster is based on a priority scheme with priority given to real-time (rt) traffic over nonreal-time (nrt) traffic. An analytical model is developed to evaluate the covariance functions of both rt and nrt traffic arriving at the output ports. Aggregate traffic arrival streams are approximated to 2-state Markov-modulated Poisson processes (MMPPs) by matching their statistical characteristics. Analytical and simulation results on performance of an example 4 /spl times/ 4 switch for different traffic loads are discussed.

The performance of a priority-based dynamic capacity allocation suitable for wireless ATM systems is presented. The scheduling of ATM cell transmission in each uplink TDMA frame is based on a priority scheme with priority given to real-time traffic over nonreal-time traffic. Real-time traffic exceeding the uplink capacity is lost while nonreal-time traffic that cannot be served is stored in a first-in first-out (FIFO) queue. An analytical model is developed to evaluate the cell loss ratio (CLR) of both real-time and nonreal-time traffic. Aggregate voice, video, and data traffic is modeled by three two-state Markov-modulated Poisson processes (MMPPs). Analytical results for different system capacities and various traffic loads and scenarios are discussed. Simulation results with on-off sources and approximating MMPP sources are also presented.

Performance analysis of a wireless ATM switching system using priority-based dynamic capacity allocation is presented. The system provides connectivity between a number of clusters of wireless ATM remote terminals. The scheduling of ATM cell transmission at each lint with TDMA frame is based on a priority scheme with priority given to real-time traffic over non-real-time traffic. Both types of traffic arriving at the downstream links are approximated by a 2-state Markov-modulated Poisson process (MMPP) in order to obtain analytical results. Illustrative results for two different traffic loads and at the output of 4/spl times/4 switch are discussed.

We consider a priority based service for traffic on the up and down links of satellite networks employing on-board processing. Real-time and jitter tolerant traffic are modulated onto a frame based flow structure with priority given to the real-time traffic. The real-time cell arrivals exceeding the frame capacity are lost while excess jitter tolerant traffic is stored. We develop an analytical technique to find the cell loss probability of the real-time traffic and the buffer overflow probability of the jitter tolerant traffic. The two sources of real-time traffic, voice and video, are each modeled as two-state Markov modulated Poisson processes (MMPP). The MMPP is also used to model jitter tolerant traffic. These results are applied to the up link of a satellite system.